Your key to MVTec's machine vision expertise

The book "Machine Vision Algorithms and Applications - Second, Completely Revised and Enlarged Edition" was written by MVTec and published by Wiley-VCH-Verlag in January 2018 (ISBN: 978-3-527-41365-2).

The book

The second edition of this successful machine vision textbook has been completely updated, revised, and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications.

The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition, and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of theory and a strong focus on applications.

All examples are based on the latest version of the machine vision software HALCON 13.

The authors

Carsten Steger

Carsten studied computer science at the Technical University of Munich (TUM) and received his PhD degree from TUM in 1998. In 1996, he co-founded the company MVTec, where he heads the Research department.

He has authored and co-authored more than 80 scientific publications in the field of computer and machine vision. In 2011, he was appointed a TUM honorary professor for the field of computer vision.

Markus Ulrich

Markus studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2003. In 2003, he joined MVTec’s Research and Development department as a software engineer.

From 2008 until 2020 he was head of the research team. He has authored and co-authored scientific publications in the fields of photogrammetry and machine vision. Markus Ulrich also worked as a guest lecturer at TUM, where he taught close-range photogrammetry.

In 2017, he was appointed a Privatdozent (lecturer) at the Karlsruhe Institute of Technology (KIT) for the field of machine vision and since 2020, he is working here as a professor in machine vision full-time.

Christian Wiedemann

Christian studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2001.

He has authored and co-authored more than 40 scientific publications in the fields of photogrammetry, remote sensing, and machine vision. In 2003, he joined MVTec‘s Research and Development department as a software engineer.

Since 2008, he has held different leading positions at MVTec.